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Founding AI Engineer

Paires

LLM EngineerseniorremotefulltimeVenture Capital and Private Equity PrincipalsLLM systemsembeddingsrankingmatchingprompt designevalsPythonFastAPIposted
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We are hiring our Founding AI Engineer to own the brain of an AI-first fundraising platform: the matching engine and the agents built on top of it. Paires is where founders come to raise capital. We pair them with the right investors from a large, engaged global investor network, then our agents run the outreach and manage the relationships that turn into meetings. It is a two-sided platform, a product for founders and a living network on the investor side, not one-way matching. We are live with paying clients, profitable and self-funded, and we run as a small, senior, flat team that ships fast. The role You own our core: the two-sided matching engine that pairs founders with investors, and the agent layer that reasons over it. This is the most important surface in the product, and it is yours to build. What you will own * The matcher: embeddings, ranking, scoring, and the feedback loop that makes matches sharper over time. * The agents: prompt design, evals, retrieval, and tool use that turn matches into booked meetings. * The backend and data behind it: Python, Postgres, Supabase, clean pipelines. * Shipping to production end to end, and the judgment to know what to build next. You are a fit if you * Ship LLM systems to production and have real examples you can walk us through. * Have built retrieval, ranking, or matching with embeddings in production. * Write strong Python and reason clearly about data and systems. * Design evals, because you care whether the output is actually good. * Own outcomes end to end and move fast with AI tooling. Bonus: FastAPI, vector databases, agent frameworks, fintech or fundraising. What we offer Fully remote and async. The best AI tooling, paid (Claude Code, Cursor, top models). Real ownership of the core product, with equity potential for the right person. Compensation: 125,000 to 180,000 GBP per year, plus equity potential. How to apply: Easy Apply, and answer the screening questions honestly. We read every application against a short set of must-haves.